A tourism destination recommender system using users' sentiment and temporal dynamics

Zheng, Xiaoyao and Luo, Yonglong and Sun, Liping and Zhang, Ji and Chen, Fulong (2018) A tourism destination recommender system using users' sentiment and temporal dynamics. Journal of Intelligent Information Systems, 51 (3). pp. 557-578. ISSN 0925-9902

Abstract

With the development and popularity of social networks, an increasing number of consumers prefer to order tourism products online, and like to share their experiences on social networks. Searching for tourism destinations online is a difficult task on account of its more restrictive factors. Recommender system can help these users to dispose information overload. However, such a system is affected by the issue of low recommendation accuracy and the cold-start problem. In this paper, we propose a tourism destination recommender system that employs opinion-mining technology to refine user sentiment, and make use of temporal dynamics to represent user preference and destination popularity drifting over time. These elements are then fused with the SVD+ + method by combining user sentiment and temporal influence. Compared with several well-known recommendation approaches, our method achieves improved recommendation accuracy and quality. A series of experimental evaluations, using a publicly available dataset, demonstrates that the proposed recommender system outperforms the existing recommender systems.


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Item Type: Article (Commonwealth Reporting Category C)
Refereed: Yes
Item Status: Live Archive
Additional Information: Permanent restricted access to Published version, in accordance with the copyright policy of the publisher.
Faculty/School / Institute/Centre: Current - Faculty of Health, Engineering and Sciences - School of Agricultural, Computational and Environmental Sciences
Date Deposited: 08 Mar 2019 04:49
Last Modified: 12 Mar 2019 04:24
Uncontrolled Keywords: recommender systems; rating; recommendation algorithm
Fields of Research : 08 Information and Computing Sciences > 0801 Artificial Intelligence and Image Processing > 080109 Pattern Recognition and Data Mining
Identification Number or DOI: 10.1007/s10844-018-0496-5
URI: http://eprints.usq.edu.au/id/eprint/36140

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